Mechanism model of pressurizer in the pressurized water reactor nuclear power plant based on PSO algorithm

A pressurizer (PRZ) mechanism model was employed for pressurized water reactor (PWR) nuclear power plant to meet rapid development of its simulation requirements. According to PRZ operational characteristics, the laws of energy conservation, mass and momentum conservation are used in obtaining a dynamic two-phase imbalance mechanism model which considering the influence of the spray flow, the power of electric heater as well as factors related to the safety valves. Particle Swarm Optimization (PSO) Algorithm was proposed to obtain a set of optimized parameters in the PRZ mechanism model. The parameter optimization algorithm was applied to a simulation case in PRZ of a 900MW PWR nuclear power plant, and a pressure simulation model was created by means of module packaging. By comparing the simulation results with the datum obtained by the PWR nuclear power plant, the correctness of modeling and the effectiveness of optimization methods were verified.